Study on evaporation duct estimation from point-to-point propagation measurements

被引:12
|
作者
Zhang, Qi [1 ,2 ]
Yang, Kunde [1 ,2 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Minist Ind & Informat Technol, Key Lab Ocean Acoust & Sensing, Xian 710072, Shaanxi, Peoples R China
关键词
evaporation; refractive index measurement; signal sampling; light propagation; particle swarm optimisation; inverse problems; numerical analysis; genetic algorithms; height measurement; distance measurement; point-to-point propagation measurement; evaporation duct refractivity structure estimation; signal strength sampling; repulsive particle swarm optimisation; inverse problem; RPSO algorithm; numerical simulation; genetic algorithm; evaporation duct height estimation; transmitting distance estimation; layered evaporation duct model; PARTICLE SWARM OPTIMIZATION; MICROWAVE; LAYER; OCEAN; ALGORITHM; HEIGHT; MODEL; ARRAY; SEA;
D O I
10.1049/iet-smt.2017.0342
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Studies are conducted to estimate the evaporation duct refractivity structure inversely using signal strength sampled in the point-to-point propagation measurements. The repulsive particle swarm optimisation (RPSO) is adopted as an efficient optimisation algorithm to improve the efficiency of the inverse process. To verify the performance of the RPSO algorithm, numerical simulations are done to compare it with genetic algorithm and particle swarm optimisation for a typical inverse problem in estimating evaporation duct height and transmitting distance simultaneously. Moreover, to get better inversion accuracy, a layered evaporation duct model is also adopted and further numerical study based on measured refractivity profiles clearly demonstrate the better performance of layered model over other models to exhibit a closer match to the sonde data.
引用
收藏
页码:456 / 460
页数:5
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